EarthDefine, a provider of high-resolution spatial data products, has created a seamless tree canopy dataset that maps Minnesota’s trees in unprecedented detail. The Minnesota SpatialCover Tree Canopy dataset maps trees with 98% accuracy and 30 times the resolution of existing state level datasets for Minnesota. This 1-meter resolution dataset will enable users to accurately measure and understand tree cover at regional and local levels, especially in mixed urban and agricultural landscapes.
EarthDefine used multiple terabytes of color infrared imagery flown in the summer of 2013 along with three-dimensional point cloud data from LIDAR (Light Detection and Ranging) available for most of Minnesota to create the seamless tree cover dataset. The LIDAR data was also used to create a Canopy Height Model (CHM) dataset that maps canopy heights across 73 counties in the state.
That is impressive.